Professor Dr. Zihuai University

Associate Professor

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Biography

Zihuai received a PhD from the University of Michigan in 2016. He completed postdoctoral training in biostatistics at Columbia University and joined Stanford University in 2018. His research is concentrated in the areas of biostatistics, statistical genetics, and integrative analysis of omics data. Currently, his methodological work focuses on statistical inference for high-dimensional large-scale testing problems, incorporating rigorous feature selection and machine learning methods. Zihuai aims to translate data-driven discoveries into mechanistic insights for drug targets.

Research Interests

Statistical Methodology Statistical Genetics Integrative Analysis of Omics Data High Dimensional Data Analysis Interpretable Machine Learning Explainable Machine Learning

Awards

Rackham Pre-doctoral Fellowship Award

2015-01-01

Rackham Conference Travel Grant

2015-01-01

Requirements for Stanford University

Doctorate Program

Requirements

GPA Requirement

Required:3.5

TOEFL

Listening

Required:26

Reading

Required:26

Writing

Required:26

Speaking

Required:26

Total

Required:100

GRE General

Verbal

Required:160

Quantitative

Required:165

Analytical Writing

Required:4.5

Overall

Required:4.5

Prerequisites

Bachelor degree from an accredited institution Strong background in mathematics and programming

Application Checklist

Statement of Purpose
Three letters of recommendation
Official transcripts
Resume/CV

Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.